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Remote Trainee Data Analyst
Remote / Online - Candidates ideally in
Durban, 3611, South Africa
Listed on 2026-10-11
Durban, 3611, South Africa
Listing for:
Placements24
Full Time, Apprenticeship/Internship, Remote/Work from Home
position Listed on 2026-10-11
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist
Job Description & How to Apply Below
Our client is actively seeking motivated individuals to join as Remote Trainee Data Analysts based in Durban . This fully remote apprenticeship offers comprehensive training in data analysis, visualization, and interpretation, enabling you to develop essential skills for a career in data science. You will work with large datasets, learning to extract meaningful insights and contribute to data-driven decision-making across the organization.
This is an excellent opportunity for individuals with a strong analytical mindset and a passion for uncovering patterns within data, who are looking for a flexible, remote-first learning experience.
- Learn and apply data analysis techniques using relevant tools and software.
- Assist in cleaning, transforming, and preparing datasets for analysis.
- Generate reports and visualizations to present data findings effectively.
- Collaborate with team members remotely to understand analytical requirements.
- Support senior analysts in extracting actionable insights from complex data.
- Participate in training modules and continuously enhance data analysis skills.
- A strong aptitude for numbers, logic, and analytical problem-solving.
- Basic familiarity with data concepts and analytical tools is a plus.
- Excellent communication skills, particularly in written form for remote collaboration.
- Self-motivated and disciplined, with the ability to manage time effectively in a remote setting.
- Proficiency in Microsoft Excel or Google Sheets.
- A degree in a quantitative field (e.g., statistics, mathematics, computer science, economics) or equivalent experience is preferred.
- Comprehensive remote training program in data analysis and tools.
- Access to online learning resources and industry best practices.
- Opportunity to work on diverse data projects from home.
- Mentorship from experienced data professionals.
- Competitive training allowance and potential for full-time employment.
- Flexible working hours suitable for a remote role.
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